agaricus_lepiota

Dataset statistics

Number of variables	20
Number of observations	8145
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	4549
Duplicate rows (%)	55.9%
Total size in memory	1.2 MiB
Average record size in memory	160.0 B

Variable types

NUM	9
BOOL	6
CAT	5

Reproduction

Analysis started	2020-08-25 01:03:55.435801
Analysis finished	2020-08-25 01:04:09.740014
Duration	14.3 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`veil-type` has constant value "0"	Constant
Dataset has 4549 (55.9%) duplicate rows	Duplicates
`cap-shape` has 454 (5.6%) zeros	Zeros
`stalk-color-above-ring` has 432 (5.3%) zeros	Zeros
`gill-color` has 1728 (21.2%) zeros	Zeros
`population` has 385 (4.7%) zeros	Zeros
`odor` has 407 (5.0%) zeros	Zeros
`ring-type` has 2780 (34.1%) zeros	Zeros
`cap-color` has 168 (2.1%) zeros	Zeros
`habitat` has 3151 (38.7%) zeros	Zeros
`stalk-root` has 2480 (30.4%) zeros	Zeros

cap-shape
Real number (ℝ_≥0)

ZEROS

Distinct count	6
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.3484346224677717
Minimum	0
Maximum	5
Zeros	454
Zeros (%)	5.6%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.604770276
Coefficient of variation (CV)	0.4792598505
Kurtosis	-1.242066847
Mean	3.348434622
Median Absolute Deviation (MAD)	2
Skewness	-0.2480877888
Sum	27273
Variance	2.57528764

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	3667	45.0%
2	3159	38.8%
3	828	10.2%
0	454	5.6%
4	33	0.4%
1	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	454	5.6%
1	4	< 0.1%
2	3159	38.8%
3	828	10.2%
4	33	0.4%
5	3667	45.0%

Value	Count	Frequency (%)
5	3667	45.0%
4	33	0.4%
3	828	10.2%
2	3159	38.8%
1	4	< 0.1%
0	454	5.6%

stalk-color-above-ring
Real number (ℝ_≥0)

ZEROS

Distinct count	9
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.8193984039287905
Minimum	0
Maximum	8
Zeros	432
Zeros (%)	5.3%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	6
median	7
Q3	7
95-th percentile	7
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.900242173
Coefficient of variation (CV)	0.3265358446
Kurtosis	2.517571226
Mean	5.819398404
Median Absolute Deviation (MAD)	0
Skewness	-1.839249759
Sum	47399
Variance	3.610920316

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	4485	55.1%
6	1872	23.0%
3	576	7.1%
4	448	5.5%
0	432	5.3%
5	192	2.4%
2	96	1.2%
1	36	0.4%
8	8	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	432	5.3%
1	36	0.4%
2	96	1.2%
3	576	7.1%
4	448	5.5%
5	192	2.4%
6	1872	23.0%
7	4485	55.1%
8	8	0.1%

Value	Count	Frequency (%)
8	8	0.1%
7	4485	55.1%
6	1872	23.0%
5	192	2.4%
4	448	5.5%
3	576	7.1%
2	96	1.2%
1	36	0.4%
0	432	5.3%

gill-color
Real number (ℝ_≥0)

ZEROS

Distinct count	12
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.811663597298956
Minimum	0
Maximum	11
Zeros	1728
Zeros (%)	21.2%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	10
Maximum	11
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.537566635
Coefficient of variation (CV)	0.7352065587
Kurtosis	-1.284274143
Mean	4.811663597
Median Absolute Deviation (MAD)	3
Skewness	0.06091970843
Sum	39191
Variance	12.5143777

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	1728	21.2%
7	1500	18.4%
10	1203	14.8%
5	1052	12.9%
2	756	9.3%
3	733	9.0%
9	492	6.0%
4	411	5.0%
1	96	1.2%
11	86	1.1%
6	64	0.8%
8	24	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1728	21.2%
1	96	1.2%
2	756	9.3%
3	733	9.0%
4	411	5.0%
5	1052	12.9%
6	64	0.8%
7	1500	18.4%
8	24	0.3%
9	492	6.0%

Value	Count	Frequency (%)
11	86	1.1%
10	1203	14.8%
9	492	6.0%
8	24	0.3%
7	1500	18.4%
6	64	0.8%
5	1052	12.9%
4	411	5.0%
3	733	9.0%
2	756	9.3%

cap-surface
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

3	3251
2	2562
0	2328
1	4

Value	Count	Frequency (%)
3	3251	39.9%
2	2562	31.5%
0	2328	28.6%
1	4	< 0.1%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	3251	39.9%
2	2562	31.5%
0	2328	28.6%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8145	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	3251	39.9%
2	2562	31.5%
0	2328	28.6%
1	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	8145	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	3251	39.9%
2	2562	31.5%
0	2328	28.6%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8145	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	3251	39.9%
2	2562	31.5%
0	2328	28.6%
1	4	< 0.1%

veil-type
Boolean

CONSTANT
REJECTED

Distinct count	1
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

0	8145

Frequency Table

Value	Count	Frequency (%)
0	8145	100.0%

gill-attachment
Boolean

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

1	7935
0	210

Frequency Table

Value	Count	Frequency (%)
1	7935	97.4%
0	210	2.6%

population
Real number (ℝ_≥0)

ZEROS

Distinct count	6
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.642971147943524
Minimum	0
Maximum	5
Zeros	385
Zeros (%)	4.7%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.25170611
Coefficient of variation (CV)	0.3435948458
Kurtosis	1.675005546
Mean	3.642971148
Median Absolute Deviation (MAD)	1
Skewness	-1.411394602
Sum	29672
Variance	1.566768185

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	4045	49.7%
5	1714	21.0%
3	1260	15.5%
2	401	4.9%
0	385	4.7%
1	340	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	385	4.7%
1	340	4.2%
2	401	4.9%
3	1260	15.5%
4	4045	49.7%
5	1714	21.0%

Value	Count	Frequency (%)
5	1714	21.0%
4	4045	49.7%
3	1260	15.5%
2	401	4.9%
1	340	4.2%
0	385	4.7%

stalk-surface-above-ring
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

2	5195
1	2372
0	554
3	24

Value	Count	Frequency (%)
2	5195	63.8%
1	2372	29.1%
0	554	6.8%
3	24	0.3%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	5195	63.8%
1	2372	29.1%
0	554	6.8%
3	24	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8145	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	5195	63.8%
1	2372	29.1%
0	554	6.8%
3	24	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	8145	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	5195	63.8%
1	2372	29.1%
0	554	6.8%
3	24	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8145	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	5195	63.8%
1	2372	29.1%
0	554	6.8%
3	24	0.3%

bruises?
Boolean

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

0	4755
1	3390

Frequency Table

Value	Count	Frequency (%)
0	4755	58.4%
1	3390	41.6%

odor
Real number (ℝ_≥0)

ZEROS

Distinct count	9
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.141313689379988
Minimum	0
Maximum	8
Zeros	407
Zeros (%)	5.0%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	5
95-th percentile	8
Maximum	8
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.105002343
Coefficient of variation (CV)	0.5082933825
Kurtosis	-0.775168329
Mean	4.141313689
Median Absolute Deviation (MAD)	2
Skewness	-0.08206752281
Sum	33731
Variance	4.431034865

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	3535	43.4%
2	2160	26.5%
7	576	7.1%
8	576	7.1%
0	407	5.0%
3	406	5.0%
6	257	3.2%
1	192	2.4%
4	36	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	407	5.0%
1	192	2.4%
2	2160	26.5%
3	406	5.0%
4	36	0.4%
5	3535	43.4%
6	257	3.2%
7	576	7.1%
8	576	7.1%

Value	Count	Frequency (%)
8	576	7.1%
7	576	7.1%
6	257	3.2%
5	3535	43.4%
4	36	0.4%
3	406	5.0%
2	2160	26.5%
1	192	2.4%
0	407	5.0%

ring-number
Categorical

Distinct count	3
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

1	7509
2	600
0	36

Value	Count	Frequency (%)
1	7509	92.2%
2	600	7.4%
0	36	0.4%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	7509	92.2%
2	600	7.4%
0	36	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8145	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	7509	92.2%
2	600	7.4%
0	36	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	8145	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	7509	92.2%
2	600	7.4%
0	36	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8145	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	7509	92.2%
2	600	7.4%
0	36	0.4%

stalk-surface-below-ring
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

2	4953
1	2304
0	601
3	287

Value	Count	Frequency (%)
2	4953	60.8%
1	2304	28.3%
0	601	7.4%
3	287	3.5%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	4953	60.8%
1	2304	28.3%
0	601	7.4%
3	287	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8145	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	4953	60.8%
1	2304	28.3%
0	601	7.4%
3	287	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	8145	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	4953	60.8%
1	2304	28.3%
0	601	7.4%
3	287	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8145	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	4953	60.8%
1	2304	28.3%
0	601	7.4%
3	287	3.5%

ring-type
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.294413750767342
Minimum	0
Maximum	4
Zeros	2780
Zeros (%)	34.1%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	4
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.801753533
Coefficient of variation (CV)	0.7852783886
Kurtosis	-1.707784602
Mean	2.294413751
Median Absolute Deviation (MAD)	2
Skewness	-0.2925260816
Sum	18688
Variance	3.246315794

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	3985	48.9%
0	2780	34.1%
2	1296	15.9%
1	48	0.6%
3	36	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2780	34.1%
1	48	0.6%
2	1296	15.9%
3	36	0.4%
4	3985	48.9%

Value	Count	Frequency (%)
4	3985	48.9%
3	36	0.4%
2	1296	15.9%
1	48	0.6%
0	2780	34.1%

veil-color
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

2	7945
1	96
0	96
3	8

Value	Count	Frequency (%)
2	7945	97.5%
1	96	1.2%
0	96	1.2%
3	8	0.1%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	7945	97.5%
0	96	1.2%
1	96	1.2%
3	8	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8145	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	7945	97.5%
0	96	1.2%
1	96	1.2%
3	8	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	8145	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	7945	97.5%
0	96	1.2%
1	96	1.2%
3	8	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8145	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	7945	97.5%
0	96	1.2%
1	96	1.2%
3	8	0.1%

cap-color
Real number (ℝ_≥0)

ZEROS

Distinct count	10
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.511479435236342
Minimum	0
Maximum	9
Zeros	168
Zeros (%)	2.1%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	4
Q3	8
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.548863741
Coefficient of variation (CV)	0.5649729268
Kurtosis	-0.846329753
Mean	4.511479435
Median Absolute Deviation (MAD)	1
Skewness	0.7024968851
Sum	36746
Variance	6.496706369

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	2287	28.1%
3	1843	22.6%
2	1500	18.4%
9	1081	13.3%
8	1046	12.8%
0	168	2.1%
5	144	1.8%
1	44	0.5%
7	16	0.2%
6	16	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	168	2.1%
1	44	0.5%
2	1500	18.4%
3	1843	22.6%
4	2287	28.1%
5	144	1.8%
6	16	0.2%
7	16	0.2%
8	1046	12.8%
9	1081	13.3%

Value	Count	Frequency (%)
9	1081	13.3%
8	1046	12.8%
7	16	0.2%
6	16	0.2%
5	144	1.8%
4	2287	28.1%
3	1843	22.6%
2	1500	18.4%
1	44	0.5%
0	168	2.1%

stalk-shape
Boolean

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

1	4615
0	3530

Frequency Table

Value	Count	Frequency (%)
1	4615	56.7%
0	3530	43.3%

habitat
Real number (ℝ_≥0)

ZEROS

Distinct count	7
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.510620012277471
Minimum	0
Maximum	6
Zeros	3151
Zeros (%)	38.7%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.72028988
Coefficient of variation (CV)	1.138797226
Kurtosis	-0.2641483349
Mean	1.510620012
Median Absolute Deviation (MAD)	1
Skewness	0.9830076938
Sum	12304
Variance	2.95939727

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	3151	38.7%
1	2155	26.5%
4	1146	14.1%
2	832	10.2%
5	371	4.6%
3	298	3.7%
6	192	2.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3151	38.7%
1	2155	26.5%
2	832	10.2%
3	298	3.7%
4	1146	14.1%
5	371	4.6%
6	192	2.4%

Value	Count	Frequency (%)
6	192	2.4%
5	371	4.6%
4	1146	14.1%
3	298	3.7%
2	832	10.2%
1	2155	26.5%
0	3151	38.7%

gill-size
Boolean

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

0	5626
1	2519

Frequency Table

Value	Count	Frequency (%)
0	5626	69.1%
1	2519	30.9%

stalk-root
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.1134438305709025
Minimum	0
Maximum	4
Zeros	2480
Zeros (%)	30.4%
Memory size	63.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.063156529
Coefficient of variation (CV)	0.9548362475
Kurtosis	0.07543954876
Mean	1.113443831
Median Absolute Deviation (MAD)	1
Skewness	0.9430869608
Sum	9069
Variance	1.130301805

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	3779	46.4%
0	2480	30.4%
3	1128	13.8%
2	563	6.9%
4	195	2.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2480	30.4%
1	3779	46.4%
2	563	6.9%
3	1128	13.8%
4	195	2.4%

Value	Count	Frequency (%)
4	195	2.4%
3	1128	13.8%
2	563	6.9%
1	3779	46.4%
0	2480	30.4%

target
Boolean

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.8 KiB

0	4228
1	3917

Frequency Table

Value	Count	Frequency (%)
0	4228	51.9%
1	3917	48.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	habitat	gill-size	stalk-root	target
0	5	7	4	2	1	3	2	1	6	1	2	4	2	4	0	5	1	3	1
1	5	7	4	2	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
2	0	7	5	2	1	2	2	1	3	1	2	4	2	8	0	3	0	2	0
3	5	7	5	3	1	3	2	1	6	1	2	4	2	8	0	5	1	3	1
4	5	7	4	2	1	0	2	0	5	1	2	0	2	3	1	1	0	3	0
5	5	7	5	3	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
6	0	7	2	2	1	2	2	1	0	1	2	4	2	8	0	3	0	2	0
7	0	7	5	3	1	3	2	1	3	1	2	4	2	8	0	3	0	2	0
8	5	7	7	3	1	4	2	1	6	1	2	4	2	8	0	1	1	3	1
9	0	7	2	2	1	3	2	1	0	1	2	4	2	9	0	3	0	2	0

Last rows

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	habitat	gill-size	stalk-root
8135	0	7	2	3	1	3	2	1	3	1	2	4	2	9	0	3	0	2
8136	2	7	2	0	1	4	2	0	5	1	2	4	2	3	0	5	1	3
8137	5	7	7	0	1	4	2	1	3	1	2	4	2	9	1	0	1	1
8138	5	7	2	2	1	2	2	1	0	1	2	4	2	9	0	3	0	2
8139	2	7	5	0	1	5	2	0	5	1	2	4	2	4	0	5	1	3
8140	5	7	3	0	1	3	0	0	5	1	2	0	2	3	1	1	0	3
8141	5	7	7	3	1	3	2	1	3	1	3	4	2	9	0	4	0	4
8142	2	7	7	2	1	4	2	1	3	1	2	4	2	8	1	0	1	1
8143	5	7	4	2	1	3	2	1	3	1	2	4	2	9	0	1	0	2
8144	2	7	7	3	1	5	2	1	0	1	3	4	2	9	0	4	0	4

Most frequent

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	stalk-root	count
232	2	3	5	0	1	4	2	1	5	1	2	4	2	2	1	1	6
233	2	3	5	0	1	4	2	1	5	1	2	4	2	3	1	1	6
234	2	3	5	0	1	4	2	1	5	1	2	4	2	4	1	1	6
235	2	3	5	0	1	5	2	1	5	1	2	4	2	2	1	1	6
236	2	3	5	0	1	5	2	1	5	1	2	4	2	3	1	1	6
237	2	3	5	0	1	5	2	1	5	1	2	4	2	4	1	1	6
238	2	3	5	3	1	4	2	1	5	1	2	4	2	2	1	1	6
239	2	3	5	3	1	4	2	1	5	1	2	4	2	3	1	1	6
240	2	3	5	3	1	4	2	1	5	1	2	4	2	4	1	1	6
241	2	3	5	3	1	5	2	1	5	1	2	4	2	2	1	1	6

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	habitat	gill-size	stalk-root	target
0	5	7	4	2	1	3	2	1	6	1	2	4	2	4	0	5	1	3	1
1	5	7	4	2	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
2	0	7	5	2	1	2	2	1	3	1	2	4	2	8	0	3	0	2	0
3	5	7	5	3	1	3	2	1	6	1	2	4	2	8	0	5	1	3	1
4	5	7	4	2	1	0	2	0	5	1	2	0	2	3	1	1	0	3	0
5	5	7	5	3	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
6	0	7	2	2	1	2	2	1	0	1	2	4	2	8	0	3	0	2	0
7	0	7	5	3	1	3	2	1	3	1	2	4	2	8	0	3	0	2	0
8	5	7	7	3	1	4	2	1	6	1	2	4	2	8	0	1	1	3	1
9	0	7	2	2	1	3	2	1	0	1	2	4	2	9	0	3	0	2	0

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	stalk-root	count
232	2	3	5	0	1	4	2	1	5	1	2	4	2	2	1	1	6
233	2	3	5	0	1	4	2	1	5	1	2	4	2	3	1	1	6
234	2	3	5	0	1	4	2	1	5	1	2	4	2	4	1	1	6
235	2	3	5	0	1	5	2	1	5	1	2	4	2	2	1	1	6
236	2	3	5	0	1	5	2	1	5	1	2	4	2	3	1	1	6
237	2	3	5	0	1	5	2	1	5	1	2	4	2	4	1	1	6
238	2	3	5	3	1	4	2	1	5	1	2	4	2	2	1	1	6
239	2	3	5	3	1	4	2	1	5	1	2	4	2	3	1	1	6
240	2	3	5	3	1	4	2	1	5	1	2	4	2	4	1	1	6
241	2	3	5	3	1	5	2	1	5	1	2	4	2	2	1	1	6

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	habitat	gill-size	stalk-root	target
0	5	7	4	2	1	3	2	1	6	1	2	4	2	4	0	5	1	3	1
1	5	7	4	2	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
2	0	7	5	2	1	2	2	1	3	1	2	4	2	8	0	3	0	2	0
3	5	7	5	3	1	3	2	1	6	1	2	4	2	8	0	5	1	3	1
4	5	7	4	2	1	0	2	0	5	1	2	0	2	3	1	1	0	3	0
5	5	7	5	3	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
6	0	7	2	2	1	2	2	1	0	1	2	4	2	8	0	3	0	2	0
7	0	7	5	3	1	3	2	1	3	1	2	4	2	8	0	3	0	2	0
8	5	7	7	3	1	4	2	1	6	1	2	4	2	8	0	1	1	3	1
9	0	7	2	2	1	3	2	1	0	1	2	4	2	9	0	3	0	2	0

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	stalk-root	count
232	2	3	5	0	1	4	2	1	5	1	2	4	2	2	1	1	6
233	2	3	5	0	1	4	2	1	5	1	2	4	2	3	1	1	6
234	2	3	5	0	1	4	2	1	5	1	2	4	2	4	1	1	6
235	2	3	5	0	1	5	2	1	5	1	2	4	2	2	1	1	6
236	2	3	5	0	1	5	2	1	5	1	2	4	2	3	1	1	6
237	2	3	5	0	1	5	2	1	5	1	2	4	2	4	1	1	6
238	2	3	5	3	1	4	2	1	5	1	2	4	2	2	1	1	6
239	2	3	5	3	1	4	2	1	5	1	2	4	2	3	1	1	6
240	2	3	5	3	1	4	2	1	5	1	2	4	2	4	1	1	6
241	2	3	5	3	1	5	2	1	5	1	2	4	2	2	1	1	6

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	habitat	gill-size	stalk-root	target
0	5	7	4	2	1	3	2	1	6	1	2	4	2	4	0	5	1	3	1
1	5	7	4	2	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
2	0	7	5	2	1	2	2	1	3	1	2	4	2	8	0	3	0	2	0
3	5	7	5	3	1	3	2	1	6	1	2	4	2	8	0	5	1	3	1
4	5	7	4	2	1	0	2	0	5	1	2	0	2	3	1	1	0	3	0
5	5	7	5	3	1	2	2	1	0	1	2	4	2	9	0	1	0	2	0
6	0	7	2	2	1	2	2	1	0	1	2	4	2	8	0	3	0	2	0
7	0	7	5	3	1	3	2	1	3	1	2	4	2	8	0	3	0	2	0
8	5	7	7	3	1	4	2	1	6	1	2	4	2	8	0	1	1	3	1
9	0	7	2	2	1	3	2	1	0	1	2	4	2	9	0	3	0	2	0

	cap-shape	stalk-color-above-ring	gill-color	cap-surface	gill-attachment	population	stalk-surface-above-ring	bruises?	odor	ring-number	stalk-surface-below-ring	ring-type	veil-color	cap-color	stalk-shape	stalk-root	count
232	2	3	5	0	1	4	2	1	5	1	2	4	2	2	1	1	6
233	2	3	5	0	1	4	2	1	5	1	2	4	2	3	1	1	6
234	2	3	5	0	1	4	2	1	5	1	2	4	2	4	1	1	6
235	2	3	5	0	1	5	2	1	5	1	2	4	2	2	1	1	6
236	2	3	5	0	1	5	2	1	5	1	2	4	2	3	1	1	6
237	2	3	5	0	1	5	2	1	5	1	2	4	2	4	1	1	6
238	2	3	5	3	1	4	2	1	5	1	2	4	2	2	1	1	6
239	2	3	5	3	1	4	2	1	5	1	2	4	2	3	1	1	6
240	2	3	5	3	1	4	2	1	5	1	2	4	2	4	1	1	6
241	2	3	5	3	1	5	2	1	5	1	2	4	2	2	1	1	6